A knowledge-based approach to intelligent alarms in anesthesia

The combination and aggregation of separate information sources to generate more 'intelligent' alarms using a knowledge-based approach is described. The approach gas developed as part of the knowledge-based anesthesia decision support system, AES-2, which monitors the patient's physio...

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Bibliographic Details
Published inIEEE engineering in medicine and biology magazine Vol. 10; no. 4; pp. 38 - 44
Main Authors Schecke, T., Rau, G., Popp, H.-J., Kasmacher, H., Kalff, G., Zimmermann, H.-J.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.12.1991
Subjects
Alarm systems
Anesthesia
Anesthetic drugs
Application software
Arterial blood pressure
Blood pressure
Fatigue
Humans
Patient monitoring
Prototypes
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Summary:The combination and aggregation of separate information sources to generate more 'intelligent' alarms using a knowledge-based approach is described. The approach gas developed as part of the knowledge-based anesthesia decision support system, AES-2, which monitors the patient's physiological state during anesthesia and eventually suggests therapeutic actions. Integration of the alarm system into a conventional information system is discussed. The state variable model used and the modeling of uncertainty are examined. The tools that support knowledge acquisition, design of knowledge-base prototypes. and test of the knowledge base of the AES-2 are described. A simulation example is given.< >
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ISSN:0739-5175
DOI:10.1109/51.107167